GSD-2016-4377
Vulnerability from gsd - Updated: 2023-12-13 01:21Details
HPE Smart Update in Storage Sizing Tool before 13.0, Converged Infrastructure Solution Sizer Suite (CISSS) before 2.13.1, Power Advisor before 7.8.2, Insight Management Sizer before 16.12.1, Synergy Planning Tool before 3.3, SAP Sizing Tool before 16.12.1, Sizing Tool for SAP Business Suite powered by HANA before 16.11.1, Sizer for ConvergedSystems Virtualization before 16.7.1, Sizer for Microsoft Exchange Server before 16.12.1, Sizer for Microsoft Lync Server 2013 before 16.12.1, Sizer for Microsoft SharePoint 2013 before 16.13.1, Sizer for Microsoft SharePoint 2010 before 16.11.1, and Sizer for Microsoft Skype for Business Server 2015 before 16.5.1 allows remote attackers to execute arbitrary code via unspecified vectors.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2016-4377",
"description": "HPE Smart Update in Storage Sizing Tool before 13.0, Converged Infrastructure Solution Sizer Suite (CISSS) before 2.13.1, Power Advisor before 7.8.2, Insight Management Sizer before 16.12.1, Synergy Planning Tool before 3.3, SAP Sizing Tool before 16.12.1, Sizing Tool for SAP Business Suite powered by HANA before 16.11.1, Sizer for ConvergedSystems Virtualization before 16.7.1, Sizer for Microsoft Exchange Server before 16.12.1, Sizer for Microsoft Lync Server 2013 before 16.12.1, Sizer for Microsoft SharePoint 2013 before 16.13.1, Sizer for Microsoft SharePoint 2010 before 16.11.1, and Sizer for Microsoft Skype for Business Server 2015 before 16.5.1 allows remote attackers to execute arbitrary code via unspecified vectors.",
"id": "GSD-2016-4377"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2016-4377"
],
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"id": "GSD-2016-4377",
"modified": "2023-12-13T01:21:18.567098Z",
"schema_version": "1.4.0"
}
},
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"affects": {
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"version": {
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"configurations": {
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"nodes": [
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"description": {
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},
"impact": {
"baseMetricV2": {
"cvssV2": {
"accessComplexity": "HIGH",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "COMPLETE",
"baseScore": 7.6,
"confidentialityImpact": "COMPLETE",
"integrityImpact": "COMPLETE",
"vectorString": "AV:N/AC:H/Au:N/C:C/I:C/A:C",
"version": "2.0"
},
"exploitabilityScore": 4.9,
"impactScore": 10.0,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "HIGH",
"userInteractionRequired": false
},
"baseMetricV3": {
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"attackComplexity": "HIGH",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 8.1,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.0/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:H",
"version": "3.0"
},
"exploitabilityScore": 2.2,
"impactScore": 5.9
}
},
"lastModifiedDate": "2016-11-28T20:17Z",
"publishedDate": "2016-08-22T10:59Z"
}
}
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
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